Twenty years of surface elevation table and marker horizon monitoring at three sites along the Fire Island (New York, USA) barrier island indicates that rates of marsh surface elevation change (Watch Hill, 4.4 mm year−1; Hospital Point, 3.5 mm year−1; Great Gun, − 0.3 mm year−1) were lower than the rate of monthly mean sea-level rise during the 2002–2022 monitoring period (5.1 mm year−1, NOAA Sandy Hook, NJ, water level station). The Great Gun monitoring site, with an elevation deficit relative to sea-level rise, shallow subsidence (surface accretion > marsh elevation rate), low elevation capital, prolonged marsh surface flooding, and declining vegetation cover, displays characteristics common to deteriorating marshes. The submergence trend was not as evident at the other monitoring sites, but with low tidal range (0.4 m) and projections of accelerated sea-level rise, sustainability is questioned if marsh elevation change continues to lag behind the local rate of relative sea-level rise. Hurricane Sandy occurred during the monitoring period (October 2012), creating a new inlet located about 300 m from one of the monitoring sites. Surprisingly, no immediate signals of deposition or erosion were noted from the marker horizon sampling. Overwash sand deposits on the marsh surface were extensive along Fire Island, although not reaching the monitoring sites, and will likely provide opportunities for future salt marsh growth, as will the flood-tide delta created by the inlet. Projecting the future of barrier island salt marshes under a regime of accelerated sea-level rise and episodic storms requires knowledge of marsh elevation and accretion processes and geomorphic dynamics.
Human water use combined with a recent megadrought have reduced river and stream flow through the Southwestern United States and led to periodic drying of formerly perennial river segments. Reductions in snowmelt runoff and increased extent of drying collectively threaten short-lived, obligate aquatic species, including the endangered Rio Grande silvery minnow. This species experiences ‘boom-and-bust’ population dynamics where large fluctuations in abundance are expected to lower estimates of effective population size and erode genetic diversity over time. Rates of diversity loss are also affected by additions of hatchery-origin fish used to supplement the wild population. We leveraged demographic and genetic data from wild and hatchery individuals to understand the relationship of genetic diversity and effective population size to abundance over the last two decades. Genetic diversity was low during the early 2000s, but diversity and demographic metrics stabilized after the hatchery program was initiated and environmental conditions improved. Yet, from 2017 onward, allelic diversity declined (Cohen's d = 1.34) and remains low despite hatchery stocking and brief wild population recovery. Across the time series, single-sample estimates of effective population size (NeD) were positively associated (r = 0.53) with wild/total abundance, but as the proportion of hatchery-origin spawners increased, NeD was reduced (r = -0.55). Megadrought limits wild spawner abundance and precludes refreshment of hatchery brood stocks with wild fish, hence we predict a riverine population increasingly dominated by hatchery-origin individuals and accelerated loss of genetic diversity despite supplementation. We recommend an adaptive and accelerated management plan that integrates river flow management and hatchery operations to slow the pace of genetic diversity loss exacerbated by megadrought.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14154","usgsCitation":"Osborne, M.J., Archdeacon, T.P., Yackulic, C., Dudley, R.K., Caeiro-Dias, G., and Turner, T.F., 2024, Genetic erosion in an endangered desert fish during a multidecadal megadrought despite long-term supportive breeding: Conservation Biology, v. 38, no. 1, e14154, 15 p., https://doi.org/10.1111/cobi.14154.","productDescription":"e14154, 15 p.","ipdsId":"IP-148171","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":441245,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14154","text":"Publisher Index Page"},{"id":419394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.57008585023667,\n 34.82182972311054\n ],\n [\n -106.92933737972794,\n 34.779685587577234\n ],\n [\n -107.34418736021243,\n 33.32339277795654\n ],\n [\n -106.96782861503118,\n 33.31981937254673\n ],\n [\n -106.57008585023667,\n 34.82182972311054\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Megan J.","contributorId":317772,"corporation":false,"usgs":false,"family":"Osborne","given":"Megan","email":"","middleInitial":"J.","affiliations":[{"id":69145,"text":"Department of Biology and Museum of Southwestern Biology, MSC 03-2020, University of New Mexico, Albuquerque, New Mexico, 87131, USA.","active":true,"usgs":false}],"preferred":false,"id":879285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archdeacon, Thomas P.","contributorId":317773,"corporation":false,"usgs":false,"family":"Archdeacon","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":69146,"text":"United States Fish and Wildlife Service, New Mexico Fish and Wildlife Conservation Office, 3800 Commons Ave, Albuquerque, New Mexico, 87109, USA.","active":true,"usgs":false}],"preferred":false,"id":879286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":879287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudley, Robert K.","contributorId":317774,"corporation":false,"usgs":false,"family":"Dudley","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":69147,"text":"American Southwest Ichthyological Researchers, 800 Encino Place NE, Albuquerque, NM 87102","active":true,"usgs":false}],"preferred":false,"id":879288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caeiro-Dias, Guilherme","contributorId":317775,"corporation":false,"usgs":false,"family":"Caeiro-Dias","given":"Guilherme","email":"","affiliations":[{"id":69145,"text":"Department of Biology and Museum of Southwestern Biology, MSC 03-2020, University of New Mexico, Albuquerque, New Mexico, 87131, USA.","active":true,"usgs":false}],"preferred":false,"id":879289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Thomas F.","contributorId":317776,"corporation":false,"usgs":false,"family":"Turner","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":69145,"text":"Department of Biology and Museum of Southwestern Biology, MSC 03-2020, University of New Mexico, Albuquerque, New Mexico, 87131, USA.","active":true,"usgs":false}],"preferred":false,"id":879290,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250952,"text":"70250952 - 2024 - Crop water productivity from cloud-Based landsat helps assess California’s water savings","interactions":[],"lastModifiedDate":"2024-01-13T14:50:43.650126","indexId":"70250952","displayToPublicDate":"2023-07-07T08:46:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Crop water productivity from cloud-Based landsat helps assess California’s water savings","docAbstract":"Despite growing support for ecosystem-based approaches, conservation is mostly implemented at the species level. However, genetic differentiation exists within this taxonomic level, putting genetically distinct populations at risk of local extinction. In the diablotin black-capped petrel Pterodroma hasitata, an endangered gadfly petrel endemic to the Caribbean, 2 phenotypes have been described: a smaller dark form and a heavier light form, which are genetically distinct. To assess possible differences in the marine distributions of phenotypes, in May 2019, we captured 5 adult black-capped petrels of each phenotype at sea in the western North Atlantic and equipped them with satellite transmitters. We used generalized linear mixed models to test the importance of phenotype on geographic distribution. Using kernel density estimations, we located use areas, quantified spatial overlap between forms, and assessed form-specific exposure to marine threats. Petrels were tracked for 11 to 255 d (mean ± SD: 102.1 ± 74.2 d). During the non-breeding period, all individuals ranged from 28.4 to 43.0° latitude. Phenotypes had significantly distinct non-breeding distributions, independent of time of year. The dark form used waters of the Carolinian marine ecoregion, and the light form used pelagic waters of the Virginian ecoregion, to the north. The dark form was more exposed to marine threats than the light form, in particular to mercury, microplastics, and marine traffic. The light form overlapped with proposed wind energy areas off the central US coast. These differences in exposure suggest possible differences in vulnerability, which can have repercussions on the viability of this imperiled species.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.1101/2022.06.02.491532","usgsCitation":"Satgé, Y., Keitt, B., Gaskin, C., Patteson, J., and Jodice, P.G., 2024, Spatial segregation between phenotypes of the diablotin black-capped petrel Pterodroma hasitata during the non-breeding period: Endangered Species Research, v. 51, p. 183-201, https://doi.org/10.1101/2022.06.02.491532.","productDescription":"19 p.","startPage":"183","endPage":"201","ipdsId":"IP-140054","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467058,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2022.06.02.491532","text":"External Repository"},{"id":465532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Atlantic Ocean, Cape Hatteras, Gulf Stream","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.8923537451853,\n 35.443875566777706\n ],\n [\n -75.8923537451853,\n 30.989743965000244\n ],\n [\n -71.14475202578238,\n 30.989743965000244\n ],\n [\n -71.14475202578238,\n 35.443875566777706\n ],\n [\n -75.8923537451853,\n 35.443875566777706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Satgé, Yvan G.","contributorId":341479,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":81653,"text":"South Carolina Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":908484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keitt, Brad","contributorId":341480,"corporation":false,"usgs":false,"family":"Keitt","given":"Brad","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaskin, Chris","contributorId":341481,"corporation":false,"usgs":false,"family":"Gaskin","given":"Chris","affiliations":[{"id":81744,"text":"Northern New Zealand Seabird Trust","active":true,"usgs":false}],"preferred":false,"id":908486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patteson, J. Brian","contributorId":347588,"corporation":false,"usgs":false,"family":"Patteson","given":"J. Brian","affiliations":[],"preferred":false,"id":922023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908487,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256449,"text":"70256449 - 2024 - Accuracy and precision of sea-finding orientation as a function of dune proximity in hatchlings of two species of sea turtles","interactions":[],"lastModifiedDate":"2024-08-26T15:04:49.69881","indexId":"70256449","displayToPublicDate":"2023-06-26T10:48:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy and precision of sea-finding orientation as a function of dune proximity in hatchlings of two species of sea turtles","docAbstract":"Context: Sea turtle hatchlings generally emerge at night from nests on sand beaches and immediately orient using visual cues, which are believed to entail the difference in brightness between the light seen in the seaward direction and that seen in the duneward direction.
Aim: The aim of this study was to understand how dune proximity affected hatchling orientations in two sea turtle species that share a nesting beach 15 km long and 25.3 ± 9.4 m (N = 215) from dune to waterline, with low to moderate artificial light nearby.
Methods: For hatchling loggerhead and green turtles, we measured accuracy and precision of orientation, tested differences in distance from nest to dune, and investigated the effect of dune proximity on hatchling orientation.
Key results: We found a significant decrease in hatchling orientation accuracy and precision in both species as the distance increased from nests to dune. Loggerhead and green turtles showed similar orientation ability when in the same proximity to the dune.
Conclusions: We conclude that dune features provide important cues for hatchling orientation on sea turtle nesting beaches.
Implications: Restoring and maintaining natural beach profiles, especially dune systems, is likely to increase the accuracy and precision of sea finding in hatchling sea turtles.
","language":"English","publisher":"CSIRO","doi":"10.1071/MF23052","usgsCitation":"Hirama, S., Witherington, B., Sylvia, A., and Carthy, R., 2024, Accuracy and precision of sea-finding orientation as a function of dune proximity in hatchlings of two species of sea turtles: Marine and Freshwater Research, v. 74, no. 11, p. 994-1001, https://doi.org/10.1071/MF23052.","productDescription":"8 p.","startPage":"994","endPage":"1001","ipdsId":"IP-146660","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441263,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/mf23052","text":"Publisher Index Page"},{"id":432601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Palm Beach County","otherGeospatial":"Juno Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.08267111365518,\n 26.969659914048705\n ],\n [\n -80.08,\n 26.97\n ],\n [\n -80.041,\n 26.858556495771765\n ],\n [\n -80.04786857797046,\n 26.858073293512533\n ],\n [\n -80.08267111365518,\n 26.969659914048705\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"74","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hirama, Shigetomo","contributorId":340649,"corporation":false,"usgs":false,"family":"Hirama","given":"Shigetomo","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witherington, Blair","contributorId":340650,"corporation":false,"usgs":false,"family":"Witherington","given":"Blair","affiliations":[{"id":61821,"text":"Inwater Research Group, Inc","active":true,"usgs":false}],"preferred":false,"id":907426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvia, Andrea","contributorId":340652,"corporation":false,"usgs":false,"family":"Sylvia","given":"Andrea","email":"","affiliations":[{"id":81641,"text":"Loggerhead Marinelife Cente","active":true,"usgs":false}],"preferred":false,"id":907427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907428,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268870,"text":"70268870 - 2024 - Estimating groundwater pumping for irrigation: A method comparison","interactions":[],"lastModifiedDate":"2025-07-10T16:27:16.465704","indexId":"70268870","displayToPublicDate":"2023-06-22T09:41:30","publicationYear":"2024","noYear":false,"publicationType":{"id":26,"text":"Extramural-Authored Publication Paper"},"publicationSubtype":{"id":31,"text":"Extramural-Authored Publication"},"seriesTitle":{"id":21990,"text":"Groundwater","active":true,"publicationSubtype":{"id":31}},"title":"Estimating groundwater pumping for irrigation: A method comparison","docAbstract":"Effective groundwater management is critical to future environmental, ecological, and social sustainability and requires accurate estimates of groundwater withdrawals. Unfortunately, these estimates are not readily available in most areas due to physical, regulatory, and social challenges. Here, we compare four different approaches for estimating groundwater withdrawals for agricultural irrigation. We apply these methods in a groundwater-irrigated region in the state of Kansas, USA, where high-quality groundwater withdrawal data are available for evaluation. The four methods represent a broad spectrum of approaches: (1) the hydrologically-based Water Table Fluctuation method (WTFM); (2) the demand-based SALUS crop model; (3) estimates based on satellite-derived evapotranspiration (ET) data from OpenET; and (4) a landscape hydrology model which integrates hydrologic- and demand-based approaches. The applicability of each approach varies based on data availability, spatial and temporal resolution, and accuracy of predictions. In general, our results indicate that all approaches reasonably estimate groundwater withdrawals in our region, however, the type and amount of data required for accurate estimates and the computational requirements vary among approaches. For example, WTFM requires accurate groundwater levels, specific yield, and recharge data, whereas the SALUS crop model requires adequate information about crop type, land use, and weather. This variability highlights the difficulty in identifying what data, and how much, are necessary for a reasonable groundwater withdrawal estimate, and suggests that data availability should drive the choice of approach. Overall, our findings will help practitioners evaluate the strengths and weaknesses of different approaches and select the appropriate approach for their application.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13336","usgsCitation":"Brookfield, A.E., Zipper, S., Kendall, A., Ajami, H., and Deines, J.M., 2024, Estimating groundwater pumping for irrigation: A method comparison: Groundwater, v. 62, no. 1, p. 15-33, https://doi.org/10.1111/gwat.13336.","productDescription":"19 p.","startPage":"15","endPage":"33","ipdsId":"IP-180562","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":492078,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13336","text":"Publisher Index Page"},{"id":491893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Sheridan County, Thomas County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100.9,\n 39.6\n ],\n [\n -100.9,\n 39.2\n ],\n [\n -100.3,\n 39.2\n ],\n [\n -100.3,\n 39.6\n ],\n [\n -100.9,\n 39.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":true,"publicationDate":"2023-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brookfield, Andrea E.","contributorId":202677,"corporation":false,"usgs":false,"family":"Brookfield","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":942441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":942442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, Anthony D.","contributorId":357745,"corporation":false,"usgs":false,"family":"Kendall","given":"Anthony D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":942443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajami, Hoori 0000-0001-6883-7630","orcid":"https://orcid.org/0000-0001-6883-7630","contributorId":303806,"corporation":false,"usgs":false,"family":"Ajami","given":"Hoori","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":942444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deines, Jillian M. 0000-0002-4279-8765","orcid":"https://orcid.org/0000-0002-4279-8765","contributorId":303808,"corporation":false,"usgs":false,"family":"Deines","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":942445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249427,"text":"70249427 - 2024 - Horizontal integrity a prerequisite for vertical stability: Comparison of elevation change and the unvegetated-vegetated marsh ratio across southeastern USA coastal wetlands","interactions":[],"lastModifiedDate":"2024-08-26T14:09:44.340893","indexId":"70249427","displayToPublicDate":"2023-06-05T10:47:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Horizontal integrity a prerequisite for vertical stability: Comparison of elevation change and the unvegetated-vegetated marsh ratio across southeastern USA coastal wetlands","docAbstract":"Surface elevation tables (SETs) estimate the vertical resilience of coastal wetlands to sea-level rise (SLR) and other stressors but are limited in their spatial coverage. Conversely, spatially integrative metrics based on remote sensing provide comprehensive spatial coverage of horizontal processes but cannot track elevation trajectory at high resolution. Here, we present a critical advance in reconciling vertical and horizontal dynamics by assessing the relationship between elevation change, relative tidal elevation (Z*), and the unvegetated-vegetated marsh ratio (UVVR) across coastal wetland complexes in the southeastern USA. We first used the UVVR to determine the representativeness of the SET site relative to varying spatial footprints across the complex and found that SET sites generally represent the tidal wetland areas in terms of vegetated cover. There is also overall coherence between positive vertical change and high vegetative cover, but we also identified sites with high vegetative cover and negative vertical change (relative to SLR). The only sites exceeding the pace of SLR have UVVR values below the previously established 0.15 threshold. Some sites are not keeping up with SLR despite having intact marsh plains; this may indicate a risk of submergence with undetectable marsh plain loss, or an imminent transition to future open-water conversion. Aggregation of Z* across the same footprint as the UVVR demonstrates consistent coherence between elevation and vegetative cover, with lower elevation sites having larger UVVR. These results indicate that the UVVR is a suitable initial screening tool: areas above the 0.15 threshold are both horizontally and vertically vulnerable. Furthermore, this comparison suggests that horizontal integrity is a prerequisite for vertical stability: a marsh can only maintain elevation if the plain is intact with minimal unvegetated area.
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2024 - Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward","interactions":[],"lastModifiedDate":"2024-05-07T14:11:13.974271","indexId":"70244184","displayToPublicDate":"2023-06-01T09:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward","docAbstract":"Model species (e.g., granivorous gamebirds, waterfowl, passerines, domesticated rodents) have been used for decades in guideline laboratory tests to generate survival, growth and reproductive data for prospective Ecological Risk Assessments (ERAs) for birds and mammals, while officially adopted risk assessment schemes for amphibians and reptiles do not exist. There are recognized shortcomings of current in vivo methods as well as uncertainty around the extent to which species with different life histories (e.g., terrestrial amphibians, reptiles, bats) than these commonly used models are protected by existing ERA frameworks. Approaches other than validating additional animal models for testing are being developed, but incorporation of such new approach methodologies (NAMs) into risk assessment frameworks will require robust validations against in vivo responses. This takes time, and the ability to extrapolate findings from non-animal studies to organism- and population-level effects in terrestrial wildlife remains weak. Failure to adequately anticipate and predict hazards could have economic and potentially even legal consequences for regulators and product registrants. In order to be able to use fewer animals or replace them altogether in the long-term, vertebrate use and whole organism data will be needed to provide data for NAMs validation in the short term. Therefore, it is worth investing resources for potential updates to existing standard test guidelines used in the laboratory as well as addressing the need for clear guidance on conduct of field studies. Herein we review the potential for improving standard in vivo test methods and for advancing the use of field studies in wildlife risk assessment, as these tools will be needed into the foreseeable future.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.4795","usgsCitation":"Bean, T., Beasley, V., Berny, P., Eisenreich, K., Elliott, J.E., Eng, M.L., Fuchsman, P., Johnson, M.S., King, M., Mateo Soria, R., Meyer, C., Salice, C., and Rattner, B.A., 2024, Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward: Integrated Environmental Assessment and Management, v. 20, no. 3, p. 699-724, https://doi.org/10.1002/ieam.4795.","productDescription":"26 p.","startPage":"699","endPage":"724","ipdsId":"IP-147218","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441268,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4795","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":874801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mateo Soria, Rafael","contributorId":306131,"corporation":false,"usgs":false,"family":"Mateo Soria","given":"Rafael","email":"","affiliations":[{"id":66375,"text":"IREC (CSIC-UCLM)","active":true,"usgs":false}],"preferred":false,"id":874802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meyer, Carolyn B.","contributorId":306132,"corporation":false,"usgs":false,"family":"Meyer","given":"Carolyn B.","affiliations":[{"id":36715,"text":"Arcadis","active":true,"usgs":false}],"preferred":false,"id":874803,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Salice, Christopher J.","contributorId":306133,"corporation":false,"usgs":false,"family":"Salice","given":"Christopher J.","affiliations":[{"id":33107,"text":"Towson 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FloPy functionality has expanded to support the latest version of MODFLOW (MODFLOW 6) including support for unstructured grids. FloPy can be used to download MODFLOW-based and other executables for Linux, MacOS, and Windows operating systems, which simplifies the process required to download and use these executables. Expanded FloPy capabilities include (1) full support for structured and unstructured spatial discretizations; (2) geoprocessing of spatial features and raster data to develop model input for supported discretization types; (3) the addition of functionality to provide direct access to simulated output data; (4) extension of plotting capabilities to unstructured MODFLOW 6 discretization types; and (5) the ability to export model data to shapefiles, NetCDF, and VTK formats for processing, analysis, and visualization by other software products. Examples of using expanded FloPy capabilities are presented for a hypothetical watershed. An unstructured groundwater flow and transport model, with several advanced stress packages, is presented to demonstrate how FloPy can be used to develop complicated unstructured model datasets from original source data (shapefiles and rasters), post-process model results, and plot simulated results.","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13327","usgsCitation":"Hughes, J.D., Langevin, C.D., Paulinski, S., Larsen, J., and Brakenhoff, D., 2024, FloPy workflows for creating structured and unstructured MODFLOW models: Groundwater, v. 62, no. 1, p. 124-139, https://doi.org/10.1111/gwat.13327.","productDescription":"16 p.","startPage":"124","endPage":"139","ipdsId":"IP-147421","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":441271,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13327","text":"Publisher Index Page"},{"id":418801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":877222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":877223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paulinski, Scott R. 0000-0001-6548-8164","orcid":"https://orcid.org/0000-0001-6548-8164","contributorId":204240,"corporation":false,"usgs":true,"family":"Paulinski","given":"Scott R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Joshua 0000-0002-1218-800X jlarsen@usgs.gov","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":272403,"corporation":false,"usgs":true,"family":"Larsen","given":"Joshua","email":"jlarsen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brakenhoff, David 0000-0002-2993-2202","orcid":"https://orcid.org/0000-0002-2993-2202","contributorId":316259,"corporation":false,"usgs":false,"family":"Brakenhoff","given":"David","email":"","affiliations":[{"id":68536,"text":"Artesia Water","active":true,"usgs":false}],"preferred":false,"id":877226,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257663,"text":"70257663 - 2024 - Ice resource mapping on Mars","interactions":[],"lastModifiedDate":"2024-08-21T14:29:54.177701","indexId":"70257663","displayToPublicDate":"2023-04-28T09:27:26","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ice resource mapping on Mars","docAbstract":"This chapter explains the rationale for considering shallowly buried (0 to >5 m depth) water ice in the mid-latitudes of Mars as a resource to support future human missions, and describes a NASA-funded effort to map that ice with existing orbital remote-sensing data. In recent decades, numerous studies have used various datasets to investigate the presence and stability of water ice in the Martian shallow subsurface, with the aim of understanding the planet’s recent climate history. As part of a renewed effort to prepare for human Mars missions, NASA has undertaken a more resource-focused approach. Here we describe the Mars Subsurface Water Ice Mapping (SWIM) team’s efforts to characterize the distribution of buried water-ice resources across all longitudes from 60°S to 60°N latitude through the integration of multiple datasets. Deriving composite measures for the presence of accessible ice from a diverse range of remote sensing techniques with unique resolutions and caveats is a challenging problem. To enable data synthesis, the team developed a methodology that assigns values of ice consistency for mapped detections of hydrogen from a neutron spectrometer, thermal behavior from various thermal spectrometers, multiscale geomorphology from imagery and elevation data, and surface and subsurface echoes from a radar sounder. Faced with diverse sensing depths and footprints for these datasets, the team has been pursuing an optimal approach to best represent multi-dataset ice consistency. The current formulation includes the use of weighting factors tuned to depth zones of interest for resource extraction. In the absence of dedicated ground-truth data, the validity of the team’s efforts is assessed by comparing the maps to the locations of fresh, ice-exposing impacts. The highest ice-consistency values occur within discrete zones poleward of ~40° latitude, where ice is relatively shallow, but positive values extend well into the ~20°–30° latitude zone, which is preferable for landing sites due to engineering considerations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of Space Resources","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-97913-3_16","usgsCitation":"Putzig, N.E., Morgan, G.A., Sizemore, H.G., Hollibaugh Baker, D.M., Petersen, E.I., Pathare, A.V., Dundas, C., Bramson, A.M., Courville, S.W., Perry, M.R., Nerozzi, S., Bain, Z.M., Hoover, R.H., Campbell, B.A., Mastrogiuseppe, M., Mellon, M.T., Seu, R., and Smith, I.B., 2024, Ice resource mapping on Mars, chap. of Handbook of Space Resources, p. 583-616, https://doi.org/10.1007/978-3-030-97913-3_16.","productDescription":"34 p.","startPage":"583","endPage":"616","ipdsId":"IP-127348","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":433001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Putzig, Nathaniel E","contributorId":269987,"corporation":false,"usgs":false,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Gareth A 0000-0002-9513-8736","orcid":"https://orcid.org/0000-0002-9513-8736","contributorId":229487,"corporation":false,"usgs":false,"family":"Morgan","given":"Gareth","email":"","middleInitial":"A","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sizemore, Hanna G 0000-0002-6641-2388","orcid":"https://orcid.org/0000-0002-6641-2388","contributorId":229472,"corporation":false,"usgs":false,"family":"Sizemore","given":"Hanna","email":"","middleInitial":"G","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollibaugh Baker, David M","contributorId":293262,"corporation":false,"usgs":false,"family":"Hollibaugh Baker","given":"David","email":"","middleInitial":"M","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":911310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petersen, Eric I","contributorId":229489,"corporation":false,"usgs":false,"family":"Petersen","given":"Eric","email":"","middleInitial":"I","affiliations":[{"id":41657,"text":"U. 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Arizona","active":true,"usgs":false}],"preferred":false,"id":911314,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Courville, Samuel W","contributorId":229483,"corporation":false,"usgs":false,"family":"Courville","given":"Samuel","email":"","middleInitial":"W","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911315,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Perry, Matthew R","contributorId":229488,"corporation":false,"usgs":false,"family":"Perry","given":"Matthew","email":"","middleInitial":"R","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911316,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nerozzi, Stefano","contributorId":267382,"corporation":false,"usgs":false,"family":"Nerozzi","given":"Stefano","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":911317,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bain, Zachary M","contributorId":293261,"corporation":false,"usgs":false,"family":"Bain","given":"Zachary","email":"","middleInitial":"M","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911318,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hoover, Rachel H","contributorId":269994,"corporation":false,"usgs":false,"family":"Hoover","given":"Rachel","email":"","middleInitial":"H","affiliations":[{"id":41659,"text":"SWRI","active":true,"usgs":false}],"preferred":false,"id":911319,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Campbell, Bruce A","contributorId":269995,"corporation":false,"usgs":false,"family":"Campbell","given":"Bruce","email":"","middleInitial":"A","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":911320,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mastrogiuseppe, Marco","contributorId":269992,"corporation":false,"usgs":false,"family":"Mastrogiuseppe","given":"Marco","email":"","affiliations":[{"id":56059,"text":"University of La Sapienza","active":true,"usgs":false}],"preferred":false,"id":911321,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":911322,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Seu, Roberto","contributorId":212732,"corporation":false,"usgs":false,"family":"Seu","given":"Roberto","email":"","affiliations":[],"preferred":false,"id":911323,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Smith, Isaac B.","contributorId":200695,"corporation":false,"usgs":false,"family":"Smith","given":"Isaac","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":911324,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70256635,"text":"70256635 - 2024 - Assessing potential habitat for freshwater mussels by transferring a habitat suitability model within the Ozark Ecoregion, Missouri","interactions":[],"lastModifiedDate":"2024-08-27T16:59:41.81243","indexId":"70256635","displayToPublicDate":"2023-03-23T11:52:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Assessing potential habitat for freshwater mussels by transferring a habitat suitability model within the Ozark Ecoregion, Missouri","docAbstract":"Habitat suitability models for freshwater mussels can inform conservation of these imperiled animals. Riverscape-scale hydrogeomorphic variables were previously used to predict suitable mussel habitat in the Meramec River basin, Missouri. We evaluated transferability of the Meramec River habitat suitability model to the Gasconade and Little Black rivers, in the Ozark Highlands ecoregion, Missouri. The best-fit models relied on transferring and adapting the original modeling framework to better represent the unique habitat characteristics of each river. Mussel bed occurrence in both rivers was associated with reaches that were classified as pools. Mussel beds in the Gasconade River were also associated with laterally stable reaches adjacent to small bluffs, distant from gravel bars, and with higher stream power indices. Mussel beds in the Little Black River were associated with reaches with higher surface water availability during low-flow conditions, lower stream power indices, and bluffs located downstream. Our results show that existing habitat models can be transferred to other streams with similar environmental conditions, but differences in watershed characteristics can affect transferability.
","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc-d-21-00005","usgsCitation":"Hartman, J.H., Rosenberger, A.E., Key, K.N., and Lindner, G.A., 2024, Assessing potential habitat for freshwater mussels by transferring a habitat suitability model within the Ozark Ecoregion, Missouri: Freshwater Mollusk Biology and Conservation, v. 26, no. 1, p. 32-44, https://doi.org/10.31931/fmbc-d-21-00005.","productDescription":"13 p.","startPage":"32","endPage":"44","ipdsId":"IP-128365","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441286,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc-d-21-00005","text":"Publisher Index Page"},{"id":433222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Ozark Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.48277091924116,\n 37.56996609191134\n ],\n [\n -90.43622532050725,\n 38.406472750075494\n ],\n [\n -90.85898340408788,\n 38.88418454557933\n ],\n [\n -92.88282529356854,\n 38.3923742230769\n ],\n [\n -92.75689735377867,\n 36.62295716381152\n ],\n [\n -90.08542605966407,\n 36.48567275312169\n ],\n [\n -89.48277091924116,\n 37.56996609191134\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, Jordan H.","contributorId":341437,"corporation":false,"usgs":false,"family":"Hartman","given":"Jordan","email":"","middleInitial":"H.","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":908416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Key, Kayla N.","contributorId":206919,"corporation":false,"usgs":false,"family":"Key","given":"Kayla","email":"","middleInitial":"N.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":908418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindner, Garth A.","contributorId":201828,"corporation":false,"usgs":false,"family":"Lindner","given":"Garth","email":"","middleInitial":"A.","affiliations":[{"id":36266,"text":"University of Missouri Cooperative Research Unit","active":true,"usgs":false}],"preferred":false,"id":908419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70240457,"text":"70240457 - 2024 - Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel","interactions":[],"lastModifiedDate":"2024-04-10T15:39:18.590353","indexId":"70240457","displayToPublicDate":"2023-03-09T10:20:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5513,"text":"Journal of Ecohydraulics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel","title":"Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel","docAbstract":"Attraction water for fishways is typically introduced through a diffuser inside the entrance channel, often through the floor or wall. In the spring of 2019, this laboratory study examined how 151 adult American Shad (Alosa sapidissima) responded to different gross velocities through a wall diffuser inside a full-scale fishway entrance channel. Two velocity conditions were studied, 0.152 m/s and 0.305 m/s, both without turning vanes inside the auxiliary water channel. The fish were tracked using the passive integrated transponder telemetry technique. The results of the experiments showed no difference in American Shad behavior when exhibited to the low and high velocity treatments. Moreover, shad passed the diffuser in roughly 3 out of every 4 attempts, regardless of the treatment. However, the similarity in shad behavior and passage performance is believed to be more of a result of the similarity in flow fields that resulted from the lack of flow guidance devices inside the auxiliary water channel. These findings therefore highlight the importance of properly maintained flow guidance devices, an often-overlooked component of an auxiliary water system.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24705357.2023.2176376","usgsCitation":"Mulligan, K., Rojas, M., Towler, B., Lake, B., and Palmer, R., 2024, Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel: Journal of Ecohydraulics, v. 9, no. 1, p. 130-143, https://doi.org/10.1080/24705357.2023.2176376.","productDescription":"14 p.","startPage":"130","endPage":"143","ipdsId":"IP-134333","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441289,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1960503","text":"External Repository"},{"id":414371,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Mulligan, Kevin 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":863847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rojas, Marcia","contributorId":300040,"corporation":false,"usgs":false,"family":"Rojas","given":"Marcia","email":"","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":863848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Towler, Brett","contributorId":141164,"corporation":false,"usgs":false,"family":"Towler","given":"Brett","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":863849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lake, Bjorn","contributorId":300039,"corporation":false,"usgs":false,"family":"Lake","given":"Bjorn","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":863850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmer, Richard","contributorId":202903,"corporation":false,"usgs":false,"family":"Palmer","given":"Richard","affiliations":[],"preferred":false,"id":863851,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254867,"text":"70254867 - 2024 - Diet composition and resource overlap of sympatric native and introduced salmonids across neighboring streams during a peak discharge event","interactions":[],"lastModifiedDate":"2024-06-10T16:45:07.388178","indexId":"70254867","displayToPublicDate":"2023-01-24T11:37:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Diet composition and resource overlap of sympatric native and introduced salmonids across neighboring streams during a peak discharge event","docAbstract":"Species assemblages composed of non-native and native fishes are found in freshwater systems throughout the world, and interactions such as interspecific competition that may negatively affect native species are expected when non-native species are present. In the Smith River watershed, Montana, rainbow trout were introduced by 1930. Native mountain whitefish and non-native rainbow trout have presumably occurred in sympatry since the introduction of rainbow trout; however, knowledge about how these two species compete with one another for food resources is sparse. We quantified diet compositions of rainbow trout and mountain whitefish in the mainstem Smith River and in a tributary to the Smith River—Sheep Creek—to determine the degree of overlap in the diets of mountain whitefish and rainbow trout in the Smith River and between the mainstem Smith River and a tributary stream. Rainbow trout and mountain whitefish had generalist feeding strategies, which probably contribute to the amicable coexistence of these species. Diet overlap between rainbow trout and mountain whitefish was high (Pianka’s index value = 0.85) in the Smith River and moderate in Sheep Creek (Pianka’s index value = 0.57). Despite overlap in diets, some resource partitioning may alleviate resource competition (e.g., rainbow trout consumed far more Oligochaeta than mountain whitefish but fewer Brachycentridae and Chironomidae). Diet composition of rainbow trout and mountain whitefish did not differ greatly between the Smith River and Sheep Creek. Prey categories most commonly used by mountain whitefish at the population and individual levels (i.e., Ephemeroptera and Trichoptera) are sensitive taxa and many species within these orders have experienced extinctions and population declines. Therefore, future changes in resource availability or competition could be of concern.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0280833","usgsCitation":"Cox, T.L., Lance, M., Albertson, L., Briggs, M., Dutton, A.J., and Zale, A.V., 2024, Diet composition and resource overlap of sympatric native and introduced salmonids across neighboring streams during a peak discharge event: PLoS ONE, v. 18, no. 1, e0280833, 15 p., https://doi.org/10.1371/journal.pone.0280833.","productDescription":"e0280833, 15 p.","ipdsId":"IP-140511","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0280833","text":"Publisher Index Page"},{"id":429778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Smith River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.6705061351432,\n 47.43858839540755\n ],\n [\n -111.6705061351432,\n 46.8636526954179\n ],\n [\n -111.00332112471752,\n 46.8636526954179\n ],\n [\n -111.00332112471752,\n 47.43858839540755\n ],\n [\n -111.6705061351432,\n 47.43858839540755\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Cox, Tanner L.","contributorId":337858,"corporation":false,"usgs":false,"family":"Cox","given":"Tanner","email":"","middleInitial":"L.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lance, Michael J.","contributorId":337859,"corporation":false,"usgs":false,"family":"Lance","given":"Michael J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albertson, Lindsey K.","contributorId":337860,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Michelle A.","contributorId":337861,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dutton, Adeline J.","contributorId":337862,"corporation":false,"usgs":false,"family":"Dutton","given":"Adeline","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":902740,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239326,"text":"70239326 - 2024 - Soil elevation change in mangrove forests and marshes of the greater Everglades: A regional synthesis of surface elevation table-marker horizon (SET-MH) data","interactions":[],"lastModifiedDate":"2024-08-26T13:58:39.390067","indexId":"70239326","displayToPublicDate":"2022-12-20T07:04:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Soil elevation change in mangrove forests and marshes of the greater Everglades: A regional synthesis of surface elevation table-marker horizon (SET-MH) data","docAbstract":"Coastal wetlands adapt to rising seas via feedbacks that build soil elevation, which lead to wetland stability. However, accelerated rates of sea-level rise can exceed soil elevation gain, leading to wetland instability and loss. Thus, there is a pressing need to better understand regional and landscape variability in rates of wetland soil elevation change. Here, we conducted a regional synthesis of surface elevation change data from mangrove forests and coastal marshes in the iconic Greater Everglades region of south Florida (USA). We integrated data from 51 sites in which a total of 122 surface elevation table-marker horizon (SET-MH) stations were installed. Several of these sites have been periodically monitored since the 1990s and are among the oldest SET-MH datasets in the world. Rates of surface elevation change ranged from −9.8 to 15.2 mm year−1, indicating some wetlands are keeping pace with sea-level rise while others are at risk of submergence and conversion to open water. Vertical accretion rates ranged from 0.6 to 12.9 mm year−1, and subsurface change rates ranged from −13.5 to 8.6 mm year−1. Rates of surface elevation change were positively related to subsurface change but not vertical accretion. There were no significant relationships between rates of surface elevation change and elevation (NAVD 88) or rates of sea-level rise. Site-specific examples indicate that hurricanes, plant productivity, hydrologic exchange, and proximity to sediment and nutrient inputs are critical but confounding drivers of surface elevation change dynamics in the Greater Everglades region. Collectively, our results reinforce the value of long-term SET-MH data that incorporate spatial variability for advancing understanding of surface elevation change dynamics in coastal wetlands.
A protracted period (2014-2016) of anomalously warm water in the northeast Pacific Ocean precipitated an extensive die-off of common murres Uria aalge (hereafter ‘murres’) during 2015-2016, accompanied by reduced colony attendance and reproductive success of murres and black-legged kittiwakes Rissa tridactyla (‘kittiwakes’) starting in 2015. Most murres died of starvation following a large-scale reduction in abundance and quality of forage fish. To assess murre and kittiwake recovery following the marine heatwave, we monitored their demographics at 2 colonies (Chisik and Gull Islands) in Cook Inlet, Alaska (USA), from 2016 to 2019. Compared to historic data (1995-1999), we observed declines and increased variability in colony attendance and productivity across species and colonies, and predation was widespread. At Chisik, where food limitations were common during historic studies, both species experienced substantial population declines and reproductive failures in all 4 years (2016-2019) following the heatwave. At Gull, a typically productive colony during historic studies, murres failed to fledge chicks for 3 years (2016-2018) following the heatwave. By 2019, murre productivity recovered to about half that observed during historic studies (0.28 vs. 0.54 chicks per pair), but populations had declined by half. Kittiwake population size at Gull declined a quarter from historic counts, and reproduction alternated between complete breeding failures (2016/2018) and high productivity (2017/2019). These multi-year demographic impacts indicate lingering effects of the heatwave on kittiwakes and murres through forage fish depletion and increased predator disturbance, and possibly other stressors. It remains unknown whether populations can rebound to historic levels. If so, recovery would likely take decades.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14177","usgsCitation":"Schoen, S.K., Arimitsu, M.L., Marsteller, C.E., and Piatt, J., 2024, Lingering impacts of the 2014-2016 northeast Pacific marine heatwave on seabird demography in Cook Inlet, Alaska (USA): Marine Ecology Progress Series, v. 737, p. 121-136, https://doi.org/10.3354/meps14177.","productDescription":"16 p.","startPage":"121","endPage":"136","ipdsId":"IP-139150","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":441302,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14177","text":"Publisher Index Page"},{"id":409415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.86692834754194,\n 58.461367338468136\n ],\n [\n -148.58541629436866,\n 58.461367338468136\n ],\n [\n -148.58541629436866,\n 61.78410578839723\n ],\n [\n -154.86692834754194,\n 61.78410578839723\n ],\n [\n -154.86692834754194,\n 58.461367338468136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoen, Sarah K. 0000-0002-5685-5185 sschoen@usgs.gov","orcid":"https://orcid.org/0000-0002-5685-5185","contributorId":5136,"corporation":false,"usgs":true,"family":"Schoen","given":"Sarah","email":"sschoen@usgs.gov","middleInitial":"K.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsteller, Caitlin Elizabeth 0000-0002-2430-0708","orcid":"https://orcid.org/0000-0002-2430-0708","contributorId":251784,"corporation":false,"usgs":true,"family":"Marsteller","given":"Caitlin","email":"","middleInitial":"Elizabeth","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236391,"text":"70236391 - 2024 - The vegetation dynamics of the monsoonal wetland of the Keoladeo National Park, India: A reassessment","interactions":[],"lastModifiedDate":"2024-03-11T14:20:15.778594","indexId":"70236391","displayToPublicDate":"2022-09-05T09:25:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"The vegetation dynamics of the monsoonal wetland of the Keoladeo National Park, India: A reassessment","docAbstract":"As a result of a field trip in 1980 to the monsoonal wetland of the Keoladeo National Park, India, which was organized by Dr. Brij Gopal, a study of the vegetation dynamics of this wetland was initiated. The original hypothesis for this study was that the seasonal vegetation changes caused by the annual summer monsoon was a compressed habitat cycle. Habitat cycles are a characteristic of prairie potholes in North America. Habitat cycles are the result of wet–dry cycles that last from 5 to 25 years during which the vegetation of a pothole changes from dense emergent vegetation (dry years) to open water with only submerged vegetation (wet years). In retrospect, our field studies were not consistent with our hypothesis. The increase in water level caused by the monsoon was not large enough to kill the emergent vegetation, as happens during prolonged high-water years in prairie potholes. However, both wetland types have significant seed banks that allow their plant species to survive adverse conditions. We now believe that the vegetation dynamics of monsoonal wetlands are best described as seasonal shifts between a wet marsh phase when the wetland is flooded and a dry grassland phase when it is not.","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-022-04962-1","usgsCitation":"van der Valk, A.G., and Middleton, B., 2024, The vegetation dynamics of the monsoonal wetland of the Keoladeo National Park, India: A reassessment: Hydrobiologia, v. 851, p. 1625-1636, https://doi.org/10.1007/s10750-022-04962-1.","productDescription":"12 p.","startPage":"1625","endPage":"1636","ipdsId":"IP-135844","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":406220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Keoladeo National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":850892,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Dangremond, Emily M.","contributorId":296221,"corporation":false,"usgs":false,"family":"Dangremond","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":850893,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"van der Valk, Arnold G.","contributorId":296189,"corporation":false,"usgs":false,"family":"van der Valk","given":"Arnold","email":"","middleInitial":"G.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":850859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":850860,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70255216,"text":"70255216 - 2024 - A scaled Denil fishway for upstream passage of Arctic Grayling","interactions":[],"lastModifiedDate":"2024-06-17T14:23:35.438379","indexId":"70255216","displayToPublicDate":"2022-08-10T09:19:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5513,"text":"Journal of Ecohydraulics","active":true,"publicationSubtype":{"id":10}},"title":"A scaled Denil fishway for upstream passage of Arctic Grayling","docAbstract":"Denil fishways have been used with varying success to help fish pass impediments to upstream passage such as low head dams or irrigation diversion structures. They have been tested for hydraulic and fish passage performance in laboratory and field settings, usually with only minor modifications to the fishway geometry or dimensions. We tested a reduced (0.6) scale prototype of the standard-sized Denil fishway to determine if the smaller fishway, which requires less water flow, would successfully pass Arctic Grayling (Thymallus arcticus). The scaling factor was informed by analyzing previously published scalable Denil fishway rating equations. A prototype was tested in an open-channel flume using 8 treatments with 3 trials per treatment and 8 fish per trial. Each treatment had a prescribed combination of headwater and tailwater depths. Overall, 93% (178/191) of the fish volitionally entered the fishway and of these 91% (162/178) passed successfully. Entrance and passage were reduced only in treatments with the highest hydraulic slopes and highest water velocities at the downstream end of the fishway (i.e. with high headwater depths and low tailwater depths). The 0.6-scaled Denil fishway is likely a good alternative to standard-sized Denil fishways to enhance upstream mobility of Arctic Grayling in small, water-limited streams.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24705357.2022.2105756","usgsCitation":"Plymesser, K., Blank, M., Conley, M., Kappenman, K., Cahoon, J., Dockery, D., and Zale, A.V., 2024, A scaled Denil fishway for upstream passage of Arctic Grayling: Journal of Ecohydraulics, v. 9, no. 1, p. 96-106, https://doi.org/10.1080/24705357.2022.2105756.","productDescription":"11 p.","startPage":"96","endPage":"106","ipdsId":"IP-137179","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":430274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Plymesser, Katey","contributorId":339030,"corporation":false,"usgs":false,"family":"Plymesser","given":"Katey","email":"","affiliations":[{"id":81234,"text":"Montana State University Civil Engineering Department","active":true,"usgs":false}],"preferred":false,"id":903752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blank, Matt","contributorId":339031,"corporation":false,"usgs":false,"family":"Blank","given":"Matt","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":903753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conley, Megan","contributorId":339032,"corporation":false,"usgs":false,"family":"Conley","given":"Megan","email":"","affiliations":[{"id":81234,"text":"Montana State University Civil Engineering Department","active":true,"usgs":false}],"preferred":false,"id":903754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kappenman, Kevin","contributorId":339033,"corporation":false,"usgs":false,"family":"Kappenman","given":"Kevin","affiliations":[{"id":81237,"text":"USFWS, Bozeman Fish Technology Center","active":true,"usgs":false}],"preferred":false,"id":903755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahoon, Joel","contributorId":339034,"corporation":false,"usgs":false,"family":"Cahoon","given":"Joel","email":"","affiliations":[{"id":81234,"text":"Montana State University Civil Engineering Department","active":true,"usgs":false}],"preferred":false,"id":903756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dockery, David","contributorId":339035,"corporation":false,"usgs":false,"family":"Dockery","given":"David","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":903757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":903758,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221871,"text":"70221871 - 2024 - Effect of backwatering a streamgage weir on the passage performance of adult American Shad (Alosa sapidissima)","interactions":[],"lastModifiedDate":"2024-09-23T16:06:34.983013","indexId":"70221871","displayToPublicDate":"2021-07-07T10:44:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5513,"text":"Journal of Ecohydraulics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effect of backwatering a streamgage weir on the passage performance of adult American Shad (Alosa sapidissima)","title":"Effect of backwatering a streamgage weir on the passage performance of adult American Shad (Alosa sapidissima)","docAbstract":"Streamgage designs often include a full-width artificial hydraulic control (e.g., concrete weir) to aid in the computation of streamflow. While important to water resource managers, these weirs also tend to act as full or partial barriers to fish migration, effectively hindering the health and survival of these populations. In this study, we conducted experiments to quantify the effect of head drop and submergence of a common streamgage weir on the passage performance of an important migratory fish species, the American Shad. Three treatment conditions were selected based on the tailwater surface elevation (ElTW): unsubmerged (ElTW = 1.05 m; head drop = 0.46 m), equal to the weir crest (ElTW = 1.20 m; head drop = 0.31 m), and submerged (ElTW = 1.36 m; head drop = 0.15 m). Fish movements were recorded via passive integrated transponder telemetry techniques. Results revealed that the backwatered Columbus-type weir was not a complete barrier at any of the three treatments, but passage was shown to be significantly impaired when the weir was unsubmerged. Passage efficiency for the unsubmerged, equal, and submerged treatments was 20.2 ± 6.2, 49.2 ± 7.2, and 64.2 ± 7.4%. Backwatering a weir, rather than removal or other major alterations that would affect weir calibration, may be an acceptable retrofit to increase fish passage.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24705357.2021.1945500","usgsCitation":"Mulligan, K., Haro, A., and Noreika, J., 2024, Effect of backwatering a streamgage weir on the passage performance of adult American Shad (Alosa sapidissima): Journal of Ecohydraulics, v. 9, no. 2, p. 145-157, https://doi.org/10.1080/24705357.2021.1945500.","productDescription":"13 p.","startPage":"145","endPage":"157","ipdsId":"IP-121476","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387121,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Mulligan, Kevin 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noreika, John 0000-0002-6637-5812 jnoreika@usgs.gov","orcid":"https://orcid.org/0000-0002-6637-5812","contributorId":167858,"corporation":false,"usgs":true,"family":"Noreika","given":"John","email":"jnoreika@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261217,"text":"70261217 - 2024 - Historical and prehistorical water levels of Mormon Lake, Arizona as a measure of climate change on the southwest Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2024-12-02T15:12:29.409176","indexId":"70261217","displayToPublicDate":"2021-03-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Historical and prehistorical water levels of Mormon Lake, Arizona as a measure of climate change on the southwest Colorado Plateau, USA","docAbstract":"Mormon Lake, elevation 2166 m with maximum historic surface area of 31.4 km2, lies in a forested endorheic basin covering 103 km2. It is the largest unaltered freshwater body on the 337,000 km2 Colorado Plateau. Prehistorical (before AD 1878) highstands were ca. 9 and 24 m relative to depocenter datum. These levels likely occurred during four multidecadal episodes of cool, wet conditions between ca. 3.55 and 0.20 ka BP. Maximum historical levels (early 1900s) were up to 7.9 m, whereas modern (post-1941) levels were frequently zero or relatively low. Historical climate records indicate reconstructed lake levels correlate directly with annual precipitation and inversely with temperature. Early highstands were associated with above average precipitation and the lowest temperatures of the 116 yr record. The lake receded after 1941; thereafter, frequent drying and low-water levels resulted from recurrent drought and steadily increasing temperatures. Consequently, a wet episode from the 1970s to the 1990s had precipitation like the early 1900s, but highstands were only ca. 3.8 m. The historical lake-level chronology is consistent with changes of hydrologic balance predicted by climate models, that is, reduced effective precipitation (precipitation minus evaporation). These changes, particularly aridification, apparently began in the 1970s or earlier. Global oceanic and atmospheric climate modulate lake levels and regional hydroclimate.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2020.92","usgsCitation":"Hereford, R., and Amoroso, L., 2024, Historical and prehistorical water levels of Mormon Lake, Arizona as a measure of climate change on the southwest Colorado Plateau, USA: Quaternary Research, v. 100, p. 32-51, https://doi.org/10.1017/qua.2020.92.","productDescription":"20 p.","startPage":"32","endPage":"51","ipdsId":"IP-113940","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":464625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Mormon Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.48876598336788,\n 34.98966103819039\n ],\n [\n -111.48876598336788,\n 34.906130634842924\n ],\n [\n -111.42028354514014,\n 34.906130634842924\n ],\n [\n -111.42028354514014,\n 34.98966103819039\n ],\n [\n -111.48876598336788,\n 34.98966103819039\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"100","noUsgsAuthors":false,"publicationDate":"2020-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hereford, Richard 0000-0002-0892-7367 rhereford@usgs.gov","orcid":"https://orcid.org/0000-0002-0892-7367","contributorId":3620,"corporation":false,"usgs":true,"family":"Hereford","given":"Richard","email":"rhereford@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":919934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amoroso, Lee 0000-0003-1342-7487","orcid":"https://orcid.org/0000-0003-1342-7487","contributorId":346805,"corporation":false,"usgs":false,"family":"Amoroso","given":"Lee","affiliations":[],"preferred":false,"id":919935,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254082,"text":"70254082 - 2024 - Puget small streams monitoring program annual status report, water year 2020","interactions":[],"lastModifiedDate":"2024-05-08T22:16:29.724043","indexId":"70254082","displayToPublicDate":"2020-05-06T06:55:13","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Puget small streams monitoring program annual status report, water year 2020","docAbstract":"This status report summarizes data collection from Summer 2020 for the Stormwater Action Monitoring (SAM) project.","language":"English","publisher":"Washington State Department of Ecology","usgsCitation":"Sheibley, R.W., 2024, Puget small streams monitoring program annual status report, water year 2020, 21 p.","productDescription":"21 p.","ipdsId":"IP-162509","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":428416,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.ezview.wa.gov/Portals/_1962/Documents/SAM/D4.1_AnnualReport_2020.pdf"},{"id":428431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.46305724863647,\n 49.17206387174522\n ],\n [\n -124.46305724863647,\n 46.75986786483739\n ],\n [\n -121.52970763926143,\n 46.75986786483739\n ],\n [\n -121.52970763926143,\n 49.17206387174522\n ],\n [\n -124.46305724863647,\n 49.17206387174522\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900172,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70240757,"text":"70240757 - 2024 - Efficient mammal biodiversity surveys for ecological restoration monitoring","interactions":[],"lastModifiedDate":"2024-10-23T15:47:31.059833","indexId":"70240757","displayToPublicDate":"2020-04-01T16:13:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Efficient mammal biodiversity surveys for ecological restoration monitoring","docAbstract":"Efficient biodiversity surveys are critical for successful restoration monitoring and management. We studied the effect of varying sampling effort on the observed species richness of surveys of small mammals (trapping transects), bats (passive acoustic detection), and medium to large mammals (trail cameras). Field studies provided mammalian biodiversity data for 4 bottomland hardwood restoration sites in northeastern Indiana. Subsampled data were used to simulate monitoring surveys with a range of levels of effort. We then used hierarchical Bayesian nonlinear mixed models to analyze how different components of sampling effort affected observed species richness, a key monitoring outcome. We found that observed small mammal richness increased with the increased number of transects in a survey, while observed bat and medium to large mammal richness increased with the increased duration of sampling. Variation between sites was important for the observed richness of small mammals and bats but not for medium to large mammals. The key driver of richness observed in simulated surveys was related to the spatial scale at which target fauna interact with the habitat, with decreasing richness accompanied by a greater spatial scale of animal–habitat interactions. Our findings suggest taxon-specific recommendations for efficiently quantifying the mammalian diversity of managed sites.
","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4324","usgsCitation":"Green, N., Wildhaber, M.L., Albers, J.L., Pettit, T.W., and Hooper, M.J., 2024, Efficient mammal biodiversity surveys for ecological restoration monitoring: Integrated Environmental Assessment and Management, v. 20, no. 6, p. 1969-1981, https://doi.org/10.1002/ieam.4324.","productDescription":"13 p.","startPage":"1969","endPage":"1981","ipdsId":"IP-110582","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":435587,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RXPYRL","text":"USGS data release","linkHelpText":"Mammalian biodiversity data for four bottomland hardwood restoration sites in Northeastern Indiana USA May 2015-August 2016"},{"id":413227,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":445571,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4324","text":"Publisher Index Page"}],"country":"United States","state":"Indiana","city":"Bluffton, New Haven","otherGeospatial":"Bluffton Native Habitat Waterway Project, Deetz Nature Preserve, Fish Creek complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.20456175119196,\n 40.762112614423955\n ],\n [\n -85.20456175119196,\n 40.70016025503452\n ],\n [\n -85.08914278782409,\n 40.70016025503452\n ],\n [\n -85.08914278782409,\n 40.762112614423955\n ],\n [\n -85.20456175119196,\n 40.762112614423955\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.97371420873174,\n 41.57466064563525\n ],\n [\n -84.97371420873174,\n 41.508602936877736\n ],\n [\n -84.83648016376709,\n 41.508602936877736\n ],\n [\n -84.83648016376709,\n 41.57466064563525\n ],\n [\n -84.97371420873174,\n 41.57466064563525\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.07991405934287,\n 41.11589628289104\n ],\n [\n -85.07991405934287,\n 41.048923920315474\n ],\n [\n -84.97206799999923,\n 41.048923920315474\n ],\n [\n -84.97206799999923,\n 41.11589628289104\n ],\n [\n -85.07991405934287,\n 41.11589628289104\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pettit, Thomas W.","contributorId":239722,"corporation":false,"usgs":false,"family":"Pettit","given":"Thomas","email":"","middleInitial":"W.","affiliations":[{"id":47988,"text":"University of Maryland University College-Asia, Unit 5060","active":true,"usgs":false}],"preferred":false,"id":864722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooper, Michael J. 0000-0002-4161-8961 mhooper@usgs.gov","orcid":"https://orcid.org/0000-0002-4161-8961","contributorId":3251,"corporation":false,"usgs":true,"family":"Hooper","given":"Michael","email":"mhooper@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864723,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261302,"text":"70261302 - 2024 - Mapping the resistivity structure of Walker Ridge 313 in the Gulf of Mexico using the marine CSEM method","interactions":[],"lastModifiedDate":"2024-12-05T15:17:07.841811","indexId":"70261302","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping the resistivity structure of Walker Ridge 313 in the Gulf of Mexico using the marine CSEM method","docAbstract":"A marine controlled source electromagnetic (CSEM) campaign was carried out in the Gulf of Mexico to further develop marine electromagnetic techniques in order to aid the detection and mapping of gas hydrate deposits. Marine CSEM methods are used to obtain an electrical resistivity structure of the subsurface which can indicate the type of substance filling the pore space, such as gas hydrates which are more resistive. Results from the Walker Ridge 313 study (WR 313) are presented in this paper and compared with the Gulf of Mexico Gas Hydrate Joint Industry Project II (JIP2) logging while drilling (LWD) results and available seismic data. The hydrate, known to exist within sheeted sand deposits, is mapped as a resistive region in the two dimensional (2D) CSEM inversion models. This is consistent with the JIP2 LWD resistivity results. CSEM inversions that use seismic horizons provide more realistic results compared to the unconstrained inversions by providing sharp boundaries and architectural control on the location of the resistive and conductive regions in the CSEM model. The seismic horizons include: 1) the base of the gas hydrate stability zone (BGHSZ), 2) the top of salt, and 3) the top and bottom of a fine grained marine mud interval with near vertical hydrate filled fractures, to constrain the CSEM inversion model. The top of salt provides improved location for brines, water saturated salt, and resistive salt. Inversions of the CSEM data map the occurrence of a ‘halo’ of conductive brines above salt. The use of the BGHSZ as a constraint on the inversion helps distinguish between free gas and gas hydrate as well as gas hydrate and water saturated sediments.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2017.08.039","usgsCitation":"Weitemeyer, K., Constable, S., Shelander, D., and Haines, S.S., 2024, Mapping the resistivity structure of Walker Ridge 313 in the Gulf of Mexico using the marine CSEM method: Marine and Petroleum Geology, v. 88, p. 1013-1031, https://doi.org/10.1016/j.marpetgeo.2017.08.039.","productDescription":"19 p.","startPage":"1013","endPage":"1031","ipdsId":"IP-088265","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2017.08.039","text":"Publisher Index Page"},{"id":464802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Houma","otherGeospatial":"Gulf of Mexico, Walker Ridge 313","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.65721574777587,\n 29.904859799956952\n ],\n [\n -91.65721574777587,\n 25.48122420526559\n ],\n [\n -88.62636230717828,\n 25.48122420526559\n ],\n [\n -88.62636230717828,\n 29.904859799956952\n ],\n [\n -91.65721574777587,\n 29.904859799956952\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weitemeyer, Karen","contributorId":346936,"corporation":false,"usgs":false,"family":"Weitemeyer","given":"Karen","affiliations":[{"id":37955,"text":"University of Southampton","active":true,"usgs":false}],"preferred":false,"id":920301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Constable, Steven","contributorId":346937,"corporation":false,"usgs":false,"family":"Constable","given":"Steven","affiliations":[{"id":83021,"text":"Scripps Institute for Oceanography","active":true,"usgs":false}],"preferred":false,"id":920302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelander, Dianna","contributorId":346938,"corporation":false,"usgs":false,"family":"Shelander","given":"Dianna","affiliations":[{"id":27162,"text":"Schlumberger","active":true,"usgs":false}],"preferred":false,"id":920303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":920304,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048196,"text":"70048196 - 2024 - Minerals Yearbook, volume III, Area Reports — International","interactions":[{"subject":{"id":70178240,"text":"70178240 - 2024 - Minerals Yearbook, volume III, Area Reports — International — Africa and the Middle East","indexId":"70178240","publicationYear":"2024","noYear":false,"displayTitle":"Minerals Yearbook, Volume III, Area Reports — International — Africa and the Middle East","title":"Minerals Yearbook, volume III, Area Reports — International — Africa and the Middle East"},"predicate":"IS_PART_OF","object":{"id":70048196,"text":"70048196 - 2024 - Minerals Yearbook, volume III, Area Reports — International","indexId":"70048196","publicationYear":"2024","noYear":false,"title":"Minerals Yearbook, volume III, Area Reports — International"},"id":1},{"subject":{"id":70178411,"text":"70178411 - 2024 - Minerals Yearbook, volume III, Area Reports — International — Asia and the Pacific","indexId":"70178411","publicationYear":"2024","noYear":false,"displayTitle":"Minerals Yearbook, Volume III, Area Reports — International — Asia and the Pacific","title":"Minerals Yearbook, volume III, Area Reports — International — Asia and the Pacific"},"predicate":"IS_PART_OF","object":{"id":70048196,"text":"70048196 - 2024 - Minerals Yearbook, volume III, Area Reports — International","indexId":"70048196","publicationYear":"2024","noYear":false,"title":"Minerals Yearbook, volume III, Area Reports — International"},"id":2},{"subject":{"id":70178412,"text":"70178412 - 2024 - Minerals Yearbook, volume III, Area Reports — International — Europe and central Eurasia","indexId":"70178412","publicationYear":"2024","noYear":false,"displayTitle":"Minerals Yearbook, Volume III, Area Reports — International — Europe and Central Eurasia","title":"Minerals Yearbook, volume III, Area Reports — International — Europe and central Eurasia"},"predicate":"IS_PART_OF","object":{"id":70048196,"text":"70048196 - 2024 - Minerals Yearbook, volume III, Area Reports — International","indexId":"70048196","publicationYear":"2024","noYear":false,"title":"Minerals Yearbook, volume III, Area Reports — International"},"id":3},{"subject":{"id":70178419,"text":"70178419 - 2024 - Minerals Yearbook, volume III, Area Reports — International — Latin America and Canada","indexId":"70178419","publicationYear":"2024","noYear":false,"displayTitle":"Minerals Yearbook, Volume III, Area Reports — International — Latin America and Canada","title":"Minerals Yearbook, volume III, Area Reports — International — Latin America and Canada"},"predicate":"IS_PART_OF","object":{"id":70048196,"text":"70048196 - 2024 - Minerals Yearbook, volume III, Area Reports — International","indexId":"70048196","publicationYear":"2024","noYear":false,"title":"Minerals Yearbook, volume III, Area Reports — International"},"id":4}],"lastModifiedDate":"2025-04-30T11:12:21.034691","indexId":"70048196","displayToPublicDate":"1981-01-15T11:28:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":370,"text":"Minerals Yearbook","active":false,"publicationSubtype":{"id":6}},"displayTitle":"Minerals Yearbook, Volume III, Area Reports — International","title":"Minerals Yearbook, volume III, Area Reports — International","docAbstract":"The U.S. Geological Survey (USGS) Minerals Yearbook discusses the performance of the worldwide minerals and materials industries and provides background information to assist in interpreting that performance. Content of the individual Minerals Yearbook volumes follows:
The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the Minerals Yearbook are welcome.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mybvIII","collaboration":"National Minerals Information CenterDirector, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
The Federal Priority Streamgage (FPS) network of the U.S. Geological Survey (USGS), created in 1999 as the National Streamflow Information Program, receives Congressional appropriations to support the operation of a federally-funded “backbone” network of streamflow gages across the United States that are designated to meet the “Federal needs” or priorities of the country. Anticipating the evolution of Federal stakeholder water-data needs, the USGS launched a re-evaluation of the fundamental priorities for the FPS network in October 2020. In March 2022, the FPS Re-Prioritization Project used an online survey to solicit feedback from 767 stakeholders representing 22 Federal agencies who benefit from the FPS network. Additional feedback from survey respondents was obtained during online listening sessions to validate the USGS’s understanding of current Federal water-data needs. Results of the feedback show that the original five network priorities identified by the U.S. Geological Survey in 1999 are still valid but require modification to better incorporate additional needs, including Federal water operations, streamflow trends and extremes, water rights involving Federal lands, and streamflow data supporting ecosystem health. Federal stakeholder feedback also indicated that the inclusion of precipitation and water-temperature data collection, along with stream imagery, would enhance the value of the FPS network.
Results of the FPS Re-Prioritization Project and Open Season that ended in May 2024 revealed that the number of FPS locations meeting the updated eligibility criteria nearly tripled, which illustrates the value of the information provided by the FPS network. The Water Forecasting & Operations and the Water Quality network priorities contributed to the largest number of new eligible FPS sites, demonstrating the importance of the FPS network in supporting informed decisions related to the protection of life, property, the environment, and the economy of the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231032","usgsCitation":"Dillow, J.J.A., McCallum, B.E., and Angeroth, C.E., 2023, Re-prioritization of the U.S. Geological Survey Federal Priority Streamgage Network (ver. 1.1, April 2025): U.S. Geological Survey Open-File Report 2023–1032, 7 p., https://doi.org/10.3133/ofr20231032.","productDescription":"Report: iii, 7 p.; Data Release","numberOfPages":"7","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-146165","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":484210,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2023/1032/versionHist.txt","text":"Version History","size":"5 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Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
In 2020, the U.S. Geological Survey began targeted monitoring, in partnership with Bernalillo County, at three locations within the McEwen storm drainage pond to evaluate and compare the water quality of stormwater as it enters and exits the study area, which is channelized and routes urban stormwater runoff through a wetland area. Stage in McEwen pond and precipitation at a nearby precipitation gage were evaluated to observe relations between rainfall and stage, as well as how long the stage remained elevated at the site. Peak stage ranged from 0.73 to 2.4 feet, with the time to reach peak stage at McEwen pond ranging from 45 minutes to 10 hours and 45 minutes. The stage remained elevated for a median of 3 days. Monitored water-quality parameters included physical parameters, bacteria, sediment, and nutrients. Bacteria was the only parameter that frequently exceeded the New Mexico Water Quality standard. Significant differences (p less than 0.05) among sites were few, consisting of those for total nitrogen and dissolved ammonia concentrations, which decreased toward the middle of the pond and were lower in the outflow from the pond compared to concentrations at the east and west sites. The middle of McEwen pond showed an increase in the percentage of fine-grained sediment, which suggests that larger particles settled into the pond and were further filtered as water traveled through the swales. Concentrations of suspended sediment and dissolved nutrients were significantly lower in 2022 compared to previous years. Although the site is still undergoing restoration and plants are becoming established, observations over the last several years indicate that site restoration has resulted in changes to the study area through processes such as nutrient uptake and the filtering of larger sediment particles.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Contact Us- USGS Publications Warehouse
","tableOfContents":"